Stochastic Modeling for Structural Materials Properties

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-14-P-1251
Agency Tracking Number: O133-C04-4013
Amount: $149,974.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD13-C04
Solicitation Number: 2013.3
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-08-05
Award End Date (Contract End Date): 2015-02-05
Small Business Information
1820 Ridge Avenue, Evanston, IL, 60201-3621
DUNS: 088176961
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jason Sebastian
 Mgr of Technology and Product Devel
 (847) 425-8227
Business Contact
 Raymond Genellie, Jr.
Title: Vice President - Operations
Phone: (847) 425-8211
Research Institution
High-strength gear steels used in helicopter transmission components require a long service lifetime and enhanced fatigue resistance. As the current design approach of these materials uses empirical test data for stress/life predictions, these methods do not capture the scatter in the test data nor do they isolate the dominant microstructural mechanisms that govern fatigue crack initiation. Thus, for these and many other high-performance materials, developing a set of predictive computational tools that accurately characterize fatigue resistance with its associated scatter would greatly benefit integrated computational materials engineering (ICME). QuesTek Innovations LLC proposes to develop a physics-based probabilistic fatigue crack initiation tool for high-performance helicopter gear steels. This tool will be developed and implemented within QuesTek"s Materials by Design approach, and will be sufficiently generic to be extended to a wide range of material systems. The feasibility of incorporating this physics-based probabilistic fatigue crack initiation tool by leveraging proprietary materials models and databases of high strength gear steel performance will be shown in the Phase I program. In Phase II, QuesTek will extend the physics-based probabilistic fatigue initiation model to various idealizations of inclusion arrays including realistic 3D reconstructions.

* Information listed above is at the time of submission. *

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